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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2019_091
id	caadria2019_091
authors	Ilha Pereira, Bianca
year	2019
title	Master Planning with Urban Algorithms - Urban parameters, optimization and scenarios
doi	https://doi.org/10.52842/conf.caadria.2019.2.051
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 51-60
summary	The analogue definition of studies on urban planning can be very time consuming in the top-down process of designing. Keeping in mind the rapid urbanization we had in Brazil, and the continuous migration to the capital of the country located in Federal District, our aim is to use digital aid models that could be flexible and make quicker responses to urban issues. Algorithms as finite sequences of instructions have broad application. Designing cities demands the interpretation of variables linked to the territory and takes into account the current legislation in order to develop urban plans. This research creates an algorithmic basis using GrasshopperÂ® to propose a mathematical solution for interpreting the existing space, and from it, to model urban scenes. The territorial analysis uses the user's perspective, with the interpretation of pre-existing characteristics, such as main roads, function and equipment distributions that make up the basic services. It is based on parameters extracted from theoretical repertoire and community facilities optimization through Galapagos evolutionary solver to deliver different proposed scenarios.
keywords	urban algorithms; master planning; Grasshopper; Galapagos; Federal District
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ecaadesigradi2019_456
id	ecaadesigradi2019_456
authors	Pereira, In?s, Belém, Catarina and Leit?o, António
year	2019
title	Optimizing Exhibition Spaces - A Multi-Objective Approach
doi	https://doi.org/10.52842/conf.ecaade.2019.3.053
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 53-62
summary	Nowadays, there is a widespread awareness towards environmental issues. This is already visible in architecture by the increasing number of analysis tools that evaluate different performance criteria. However, the application of these tools is usually restricted to the final design stages, conditioning the implementation of design changes. Performance-Based Design (PBD) is an approach that addresses this limitation. Through PBD, architects integrate analysis tools since early design stages to make informed decisions regarding the performance of their designs. Since the success of PBD highly depends on the number of evaluations that can be performed, these approaches usually end up benefiting from Parametric Models (PMs), which facilitate the generation of a wide range of design variations, by simply changing the values of the parameters. Furthermore, in order to more efficiently achieve a PBD approach, architects can take advantage of the combination between PMs, analysis tools, and optimization processes. In this paper, we explore this combination to optimize an exhibition space regarding its daylight performance and the material cost of the new elements intended for that space.
keywords	Environmental Design; Algorithmic Design and Analysis; Performance-Based Design; Multi-Objective Optimization; Daylight Optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

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